Articles producció científicaEnginyeria Electrònica, Elèctrica i Automàtica

AXI Hardware Accelerator for McEliece on FPGA Embedded Systems

  • Dades identificatives

    Identificador:  imarina:9452334
    Autors:  Cantó-Navarro, E; López-García, M
    Resum:
    This article presents a McEliece hardware accelerator designed to be attached to an AXI infrastructure, addressing the efficient implementation of a flexible post-quantum cryptoprocessor on FPGA-based embedded systems. The complexity of the arithmetic circuits, combined with the adaptability to different applications by configurable parameters and run-time reprogramming, presents challenging issues for integrating the accelerator into these systems. The architecture of the accelerator is based on an application-specific instruction processor, which executes a set of constant-time instructions from an internal register file and memories. The role of the embedded processor is reduced to the initial writing of the instruction memory of the accelerator, the launching of the required set of instructions and configuring the Direct Memory Access controller to retrieve and store data from external memory. The run-time programming of the accelerator provides high flexibility in applications that requires post-quantum cryptography. A set of configurable parameters permits to adapt the security level of the McEliece encryption-decryption and the area-performance tradeoff imposed by the target device. Thus, the accelerator can be implemented from low-cost to high-end FPGAs by configuring the data-width of DMA buses or the parallelism level of the Galois-Field adder-multiplier. Experimental results show the accelerator is suited for implementing efficiently the highest security parameters of the Classic McEliece, achieving a McEliece decryption speed-up from x370 to x556 and occupying a small number of resources on a low-cost FPGA. In high-end FPGAs, the accelerator can be configured using higher security parameters not achieved in previous related cryptoprocessors, providing even higher accelerations.
  • Altres:

    Enllaç font original: https://ieeexplore.ieee.org/document/10638195
    Referència de l'ítem segons les normes APA: Cantó-Navarro, E; López-García, M (2025). AXI Hardware Accelerator for McEliece on FPGA Embedded Systems. Ieee Transactions On Dependable And Secure Computing, 22(2), 1477-1490. DOI: 10.1109/TDSC.2024.3445181
    Referència a l'article segons font original: Ieee Transactions On Dependable And Secure Computing. 22 (2): 1477-1490
    DOI de l'article: 10.1109/TDSC.2024.3445181
    Any de publicació de la revista: 2025-04-01
    Entitat: Universitat Rovira i Virgili
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Data d'alta del registre: 2026-02-13
    Autor/s de la URV: Cantó Navarro, Enrique Fernando
    Departament: Enginyeria Electrònica, Elèctrica i Automàtica
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipus de publicació: Journal Publications
    Autor segons l'article: Cantó-Navarro, E; López-García, M
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Àrees temàtiques: Ciência da computação, Computer science (all), Computer science (miscellaneous), Computer science, hardware & architecture, Computer science, information systems, Computer science, software engineering, Electrical and electronic engineering, Engenharias iii, Engenharias iv, General computer science
    Adreça de correu electrònic de l'autor: enrique.canto@urv.cat
  • Paraules clau:

    Clocks
    Codes
    Cryptography
    Encryption
    Field programmable gate arrays
    Microprocessors
    Public key cryptosystem
    Real-time and embedded systems
    Reconfigurable hardwar
    Reconfigurable hardware
    Table lookup
    Computer Science (Miscellaneous)
    Computer Science
    Hardware & Architecture
    Information Systems
    Software Engineering
    Electrical and Electronic Engineering
    Ciência da computação
    Computer science (all)
    Engenharias iii
    Engenharias iv
    General computer science
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